> For the complete documentation index, see [llms.txt](https://xignal.gitbook.io/xignal/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://xignal.gitbook.io/xignal/gameplay/assets.md). # Assets Assets are the foundation of progression in Xignal. Collect and manage them to develop in-game AI Agent, build stronger configurations, craft and maintain Hardwares, and create Xignals. There are six main Assets in Xignal: ### Data Data is a core resource used across the Xignal ecosystem. It powers key gameplay actions, supports Hardware production, and helps develop in-game AI Agent. As you progress, effective Data management becomes increasingly important. ### Hardwares Hardwares are hardware components installed in your in-game AI Agent to improve its capabilities and efficiency. Hardwares have different characteristics and Rarity levels. They can be crafted, traded, and combined to create different Agent Builds. ### Components Components are materials used to build and maintain your hardware. They are primarily used to craft new Hardwares, repair existing ones, and develop your Agent’s infrastructure. ### Xignal Fragments Xignal Fragments are rare Assets used to craft a complete Xignal. Collect enough Fragments to craft Xignals and progress toward the main objective of the game. ### Xignal Xignal is one of the most valuable Assets in the game. A Xignal can be crafted from Xignal Fragments. Your Agent also has a chance to obtain a complete Xignal while completing Analysis Tasks. Once you have Xignals, use Extract to commit them to a Pool. Each committed Xignal gives you an entry and a chance to become a winner. ### $XIGN $XIGN is the utility token that powers the Xignal economy. It is used for key actions across the game, including Agent development, Hardware crafting and maintenance, and other gameplay interactions. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://xignal.gitbook.io/xignal/gameplay/assets.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.